Manpreet Singh Takkar, Manoj Kumar Sharma, Ravi Pal
{"title":"A review on evolution of acoustic noise reduction in MRI","authors":"Manpreet Singh Takkar, Manoj Kumar Sharma, Ravi Pal","doi":"10.1109/RDCAPE.2017.8358273","DOIUrl":null,"url":null,"abstract":"Since the first human scan using MRI in 1977, it has undergone many improvements to make it safer for humans, faster in operation and easier to use. Magnetic Resonance (MR) scanners produce acoustic noise of up to 130 dB (SPL) which is a serious matter of concern both for patients and operators. So, it is necessary to design and implement a method to reduce the noise generated at the time of Magnetic Resonance Imaging (MRI). A lot of work has been done to improve the noise cancellation techniques and make them more efficient for using in magnetic resonance environment. This paper gives a glimpse of control systems and algorithms used in Noise cancellation techniques. Finally, we present a short and chronological review of the work that has been done in this field in research and application.","PeriodicalId":442235,"journal":{"name":"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RDCAPE.2017.8358273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Since the first human scan using MRI in 1977, it has undergone many improvements to make it safer for humans, faster in operation and easier to use. Magnetic Resonance (MR) scanners produce acoustic noise of up to 130 dB (SPL) which is a serious matter of concern both for patients and operators. So, it is necessary to design and implement a method to reduce the noise generated at the time of Magnetic Resonance Imaging (MRI). A lot of work has been done to improve the noise cancellation techniques and make them more efficient for using in magnetic resonance environment. This paper gives a glimpse of control systems and algorithms used in Noise cancellation techniques. Finally, we present a short and chronological review of the work that has been done in this field in research and application.